37 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Imperial College London in United Kingdom
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clinical research groups at the National Heart and Lung Institute at Imperial College London applying statistical, machine learning and simulation approaches to combine experimental and clinical data with
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, ideally applied to computational protein design, molecular modelling, or machine learning for biomolecular systems. Practical experience in molecular cloning, protein expression, purification, and
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postgraduate students, as well as postdoctoral staff in robotics and robot learning applications. The staff member will be required: To enable excellence in robotics research by providing expertise in
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. Alongside this, you will lead and develop the People Security Policy, manage key supplier relationships, and drive continuous improvement through effective governance, data, insight and learning across
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diverse areas transform the world for the better To deliver our events/programme, we work with staff across all departments and Institutes within Imperial, which creates extra opportunities for learning
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-supported and impactful for all participants. You will be responsible for the full lifecycle of the Career’s Service’s experiential learning schemes. These currently include Alumni Mentoring, Ask an Alum
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required by the Head of Department and Head of the School. A PhD in epidemiology, data science, biostatistics, environmental science or related field or equivalent To teach and examine courses at all levels
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across all departments. Developing Learning Resources: Create and manage online and blended learning materials to assist students in securing employment in the UK or their home countries. Providing
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institution and be part of our mission to use science for humanity. Develop in your role with access to learning and development opportunities. Benefit from sector-leading salary and remuneration package
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) Experience of engaging at a senior level with external auditors Up‑to‑date accounting knowledge and a proactive approach to learning and applying new accounting standards Financial risk management strategies